Pandas Profiling Report

Dataset statistics

Number of variables	40
Number of observations	12167
Missing cells	30055
Missing cells (%)	6.2%
Duplicate rows	19
Duplicate rows (%)	0.2%
Total size in memory	3.8 MiB
Average record size in memory	328.0 B

Variable types

Categorical	34
Numeric	6

Alerts

Dataset has 19 (0.2%) duplicate rows	Duplicates
`ocorrencia_cidade` has a high cardinality: 1068 distinct values	High cardinality
`ocorrencia_aerodromo` has a high cardinality: 516 distinct values	High cardinality
`ocorrencia_dia` has a high cardinality: 2684 distinct values	High cardinality
`ocorrencia_hora` has a high cardinality: 923 distinct values	High cardinality
`ocorrencia_localizacao` has a high cardinality: 2702 distinct values	High cardinality
`ocorrencia_tipo` has a high cardinality: 80 distinct values	High cardinality
`ocorrencia_tipo_categoria` has a high cardinality: 80 distinct values	High cardinality
`aeronave_matricula` has a high cardinality: 3902 distinct values	High cardinality
`aeronave_fabricante` has a high cardinality: 234 distinct values	High cardinality
`aeronave_modelo` has a high cardinality: 738 distinct values	High cardinality
`aeronave_tipo_icao` has a high cardinality: 232 distinct values	High cardinality
`aeronave_voo_origem` has a high cardinality: 678 distinct values	High cardinality
`aeronave_voo_destino` has a high cardinality: 675 distinct values	High cardinality
`fator_nome` has a high cardinality: 74 distinct values	High cardinality
`recomendacao_conteudo` has a high cardinality: 1171 distinct values	High cardinality
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`fator_area` is highly correlated with `fator_aspecto` and 2 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `divulgacao_relatorio_publicado` and 1 other fields	High correlation
`aeronave_registro_categoria` is highly correlated with `aeronave_motor_tipo` and 1 other fields	High correlation
`fator_aspecto` is highly correlated with `fator_area` and 2 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `fator_nome` and 3 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `divulgacao_relatorio_publicado` and 1 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `aeronave_registro_categoria` and 2 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `aeronave_registro_segmento`	High correlation
`ocorrencia_saida_pista` is highly correlated with `taxonomia_tipo_icao` and 2 other fields	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `aeronave_operador_categoria` and 4 other fields	High correlation
`fator_nome` is highly correlated with `fator_area` and 3 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `aeronave_registro_categoria` and 1 other fields	High correlation
`fator_condicionante` is highly correlated with `fator_area` and 2 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `aeronave_motor_tipo`	High correlation
`taxonomia_tipo_icao` is highly correlated with `total_aeronaves_envolvidas` and 4 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `total_aeronaves_envolvidas` and 5 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `aeronave_operador_categoria` and 5 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `aeronave_tipo_operacao`	High correlation
`ocorrencia_tipo` is highly correlated with `total_aeronaves_envolvidas` and 5 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_uf` and 14 other fields	High correlation
`ocorrencia_uf` is highly correlated with `ocorrencia_classificacao` and 12 other fields	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `total_recomendacoes` and 4 other fields	High correlation
`total_recomendacoes` is highly correlated with `ocorrencia_classificacao` and 12 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `total_recomendacoes` and 4 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo` and 3 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_classificacao` and 26 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `ocorrencia_classificacao` and 26 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_classificacao` and 16 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `ocorrencia_classificacao` and 5 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `ocorrencia_classificacao` and 14 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `ocorrencia_classificacao` and 9 other fields	High correlation
`aeronave_pmd` is highly correlated with `ocorrencia_classificacao` and 11 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `ocorrencia_classificacao` and 11 other fields	High correlation
`aeronave_assentos` is highly correlated with `ocorrencia_tipo` and 8 other fields	High correlation
`aeronave_ano_fabricacao` is highly correlated with `ocorrencia_uf` and 4 other fields	High correlation
`aeronave_registro_categoria` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `ocorrencia_classificacao` and 17 other fields	High correlation
`aeronave_fase_operacao` is highly correlated with `ocorrencia_classificacao` and 15 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `ocorrencia_classificacao` and 17 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_classificacao` and 8 other fields	High correlation
`aeronave_fatalidades_total` is highly correlated with `ocorrencia_uf` and 7 other fields	High correlation
`fator_nome` is highly correlated with `ocorrencia_classificacao` and 18 other fields	High correlation
`fator_aspecto` is highly correlated with `ocorrencia_tipo` and 4 other fields	High correlation
`fator_condicionante` is highly correlated with `ocorrencia_tipo` and 5 other fields	High correlation
`fator_area` is highly correlated with `ocorrencia_tipo` and 4 other fields	High correlation
`recomendacao_status` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`ocorrencia_localizacao` has 983 (8.1%) missing values	Missing
`aeronave_assentos` has 241 (2.0%) missing values	Missing
`aeronave_ano_fabricacao` has 246 (2.0%) missing values	Missing
`fator_nome` has 4432 (36.4%) missing values	Missing
`fator_aspecto` has 4432 (36.4%) missing values	Missing
`fator_condicionante` has 4432 (36.4%) missing values	Missing
`fator_area` has 4432 (36.4%) missing values	Missing
`recomendacao_conteudo` has 5424 (44.6%) missing values	Missing
`recomendacao_status` has 5422 (44.6%) missing values	Missing
`total_recomendacoes` has 5422 (44.6%) zeros	Zeros
`aeronave_pmd` has 292 (2.4%) zeros	Zeros
`aeronave_pmd_categoria` has 292 (2.4%) zeros	Zeros
`aeronave_assentos` has 557 (4.6%) zeros	Zeros
`aeronave_ano_fabricacao` has 597 (4.9%) zeros	Zeros
`aeronave_fatalidades_total` has 9663 (79.4%) zeros	Zeros

Reproduction

Analysis started	2022-05-28 14:31:52.033413
Analysis finished	2022-05-28 14:32:04.010198
Duration	11.98 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

ocorrencia_classificacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

ACIDENTE	6857
INCIDENTE	3101
INCIDENTE GRAVE	2209

Length

Max length	15
Median length	8
Mean length	9.525766417
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INCIDENTE
2nd row	ACIDENTE
3rd row	ACIDENTE
4th row	ACIDENTE
5th row	ACIDENTE

Common Values

Value	Count	Frequency (%)
ACIDENTE	6857	56.4%
INCIDENTE	3101	25.5%
INCIDENTE GRAVE	2209	18.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
acidente	6857	47.7%
incidente	5310	36.9%
grave	2209	15.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_cidade
Categorical

HIGH CARDINALITY

Distinct	1068
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

BRASÍLIA - DF	581
RIO DE JANEIRO - RJ	519
SÃO PAULO - SP	343
MANAUS - AM	311
BELO HORIZONTE - MG	231
Other values (1063)	10182

Length

Max length	37
Median length	13
Mean length	14.86364757
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	409 ?
Unique (%)	3.4%

Sample

1st row	PORTO ALEGRE - RS
2nd row	GUARULHOS - SP
3rd row	GUARULHOS - SP
4th row	GUARULHOS - SP
5th row	GUARULHOS - SP

Common Values

Value	Count	Frequency (%)
BRASÍLIA - DF	581	4.8%
RIO DE JANEIRO - RJ	519	4.3%
SÃO PAULO - SP	343	2.8%
MANAUS - AM	311	2.6%
BELO HORIZONTE - MG	231	1.9%
GOIÂNIA - GO	227	1.9%
SANTOS - SP	212	1.7%
GUARULHOS - SP	200	1.6%
RECIFE - PE	193	1.6%
CAMPINAS - SP	180	1.5%
Other values (1058)	9170	75.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	12171	28.2%
sp	2514	5.8%
pr	894	2.1%
rs	858	2.0%
rj	789	1.8%
pa	774	1.8%
mg	754	1.7%
são	739	1.7%
go	725	1.7%
rio	718	1.7%
Other values (1090)	22249	51.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_uf
Categorical

HIGH CORRELATION

Distinct	28
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

SP	2514
PR	894
RS	858
RJ	789
PA	774
Other values (23)	6338

Length

Max length	3
Median length	2
Mean length	2.000328758
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RS
2nd row	SP
3rd row	SP
4th row	SP
5th row	SP

Common Values

Value	Count	Frequency (%)
SP	2514	20.7%
PR	894	7.3%
RS	858	7.1%
RJ	789	6.5%
PA	774	6.4%
MG	754	6.2%
GO	725	6.0%
AM	711	5.8%
MT	660	5.4%
DF	581	4.8%
Other values (18)	2907	23.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	2514	20.7%
pr	894	7.3%
rs	858	7.1%
rj	789	6.5%
pa	774	6.4%
mg	754	6.2%
go	725	6.0%
am	711	5.8%
mt	660	5.4%
df	581	4.8%
Other values (18)	2907	23.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_aerodromo
Categorical

HIGH CARDINALITY

Distinct	516
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

****	5151
SBBR	536
SBGL	203
*****	197
SBGR	193
Other values (511)	5887

Length

Max length	5
Median length	4
Mean length	4.016191337
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	190 ?
Unique (%)	1.6%

Sample

1st row	SBPA
2nd row	SBGR
3rd row	SBGR
4th row	SBGR
5th row	SBGR

Common Values

Value	Count	Frequency (%)
****	5151	42.3%
SBBR	536	4.4%
SBGL	203	1.7%
*****	197	1.6%
SBGR	193	1.6%
SBEG	168	1.4%
SBGO	151	1.2%
SBMT	145	1.2%
SBRF	139	1.1%
SBBH	120	1.0%
Other values (506)	5164	42.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	5376	44.2%
sbbr	536	4.4%
sbgl	203	1.7%
sbgr	193	1.6%
sbeg	168	1.4%
sbgo	151	1.2%
sbmt	145	1.2%
sbrf	139	1.1%
sbbh	120	1.0%
sbjd	108	0.9%
Other values (503)	5028	41.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_dia
Categorical

HIGH CARDINALITY

Distinct	2684
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

09/04/2018	234
13/08/2014	209
26/06/2015	137
06/11/2012	117
12/07/2018	96
Other values (2679)	11374

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	926 ?
Unique (%)	7.6%

Sample

1st row	05/01/2012
2nd row	06/01/2012
3rd row	06/01/2012
4th row	06/01/2012
5th row	06/01/2012

Common Values

Value	Count	Frequency (%)
09/04/2018	234	1.9%
13/08/2014	209	1.7%
26/06/2015	137	1.1%
06/11/2012	117	1.0%
12/07/2018	96	0.8%
23/09/2015	92	0.8%
28/11/2018	91	0.7%
13/04/2013	88	0.7%
30/11/2017	85	0.7%
16/12/2013	82	0.7%
Other values (2674)	10936	89.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
09/04/2018	234	1.9%
13/08/2014	209	1.7%
26/06/2015	137	1.1%
06/11/2012	117	1.0%
12/07/2018	96	0.8%
23/09/2015	92	0.8%
28/11/2018	91	0.7%
13/04/2013	88	0.7%
30/11/2017	85	0.7%
16/12/2013	82	0.7%
Other values (2674)	10936	89.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_hora
Categorical

HIGH CARDINALITY

Distinct	923
Distinct (%)	7.6%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

20:00:00	280
19:00:00	252
12:30:00	251
00:32:00	234
12:00:00	220
Other values (918)	10929

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	301 ?
Unique (%)	2.5%

Sample

1st row	20:27:00
2nd row	13:44:00
3rd row	13:44:00
4th row	13:44:00
5th row	13:44:00

Common Values

Value	Count	Frequency (%)
20:00:00	280	2.3%
19:00:00	252	2.1%
12:30:00	251	2.1%
00:32:00	234	1.9%
12:00:00	220	1.8%
18:00:00	217	1.8%
14:00:00	217	1.8%
13:03:00	210	1.7%
15:30:00	188	1.5%
15:00:00	184	1.5%
Other values (913)	9913	81.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00:00	280	2.3%
19:00:00	252	2.1%
12:30:00	251	2.1%
00:32:00	234	1.9%
12:00:00	220	1.8%
18:00:00	217	1.8%
14:00:00	217	1.8%
13:03:00	210	1.7%
15:30:00	188	1.5%
15:00:00	184	1.5%
Other values (913)	9913	81.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

divulgacao_relatorio_publicado
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

SIM	8172
NÃO	3995

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	SIM

Common Values

Value	Count	Frequency (%)
SIM	8172	67.2%
NÃO	3995	32.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sim	8172	67.2%
não	3995	32.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

total_recomendacoes
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.275581491

Minimum	0
Maximum	13
Zeros	5422
Zeros (%)	44.6%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	9
Maximum	13
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.018723086
Coefficient of variation (CV)	1.326572174
Kurtosis	2.054938343
Mean	2.275581491
Median Absolute Deviation (MAD)	1
Skewness	1.578543485
Sum	27687
Variance	9.112689073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	5422	44.6%
2	1582	13.0%
3	1218	10.0%
1	1027	8.4%
4	852	7.0%
9	549	4.5%
6	486	4.0%
7	273	2.2%
5	250	2.1%
13	208	1.7%
Other values (3)	300	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5422	44.6%
1	1027	8.4%
2	1582	13.0%
3	1218	10.0%
4	852	7.0%
5	250	2.1%
6	486	4.0%
7	273	2.2%
8	200	1.6%
9	549	4.5%

Value	Count	Frequency (%)
13	208	1.7%
12	12	0.1%
11	88	0.7%
9	549	4.5%
8	200	1.6%
7	273	2.2%
6	486	4.0%
5	250	2.1%
4	852	7.0%
3	1218	10.0%

total_aeronaves_envolvidas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

1	11512
2	646
3	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	11512	94.6%
2	646	5.3%
3	9	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	11512	94.6%
2	646	5.3%
3	9	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_saida_pista
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

NÃO	10399
SIM	1768

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	NÃO
3rd row	NÃO
4th row	NÃO
5th row	NÃO

Common Values

Value	Count	Frequency (%)
NÃO	10399	85.5%
SIM	1768	14.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
não	10399	85.5%
sim	1768	14.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_localizacao
Categorical

HIGH CARDINALITY
MISSING

Distinct	2702
Distinct (%)	24.2%
Missing	983
Missing (%)	8.1%
Memory size	190.1 KiB

* / *	699
-158.711.111.11 / -479.186.111.11	236
-23.9597222222 / -46.3269444444	208
-3.7325 / -38.7119444444	136
\t-25.25833333\t / \t-49.32805556\t	117
Other values (2697)	9788

Length

Max length	35
Median length	30
Mean length	27.78710658
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1692 ?
Unique (%)	15.1%

Sample

1st row	-23.4355555556 / -46.4730555556
2nd row	-23.4355555556 / -46.4730555556
3rd row	-23.4355555556 / -46.4730555556
4th row	-23.4355555556 / -46.4730555556
5th row	-23.4355555556 / -46.4730555556

Common Values

Value	Count	Frequency (%)
* / *	699	5.7%
-158.711.111.11 / -479.186.111.11	236	1.9%
-23.9597222222 / -46.3269444444	208	1.7%
-3.7325 / -38.7119444444	136	1.1%
\t-25.25833333\t / \t-49.32805556\t	117	1.0%
-22.81 / -43.2505555556	100	0.8%
-215.997.222.22 / -488.327.777.77	96	0.8%
-15.8691666667 / -47.9208333333	91	0.7%
-11.8961111111 / -44.2944444444	90	0.7%
-30.383.333.333 / -600.625	90	0.7%
Other values (2692)	9321	76.6%
(Missing)	983	8.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	12597	37.5%
479.186.111.11	236	0.7%
158.711.111.11	236	0.7%
23.9597222222	208	0.6%
46.3269444444	208	0.6%
22.81	161	0.5%
3.7325	136	0.4%
38.7119444444	136	0.4%
t-25.25833333\t	117	0.3%
t-49.32805556\t	117	0.3%
Other values (5150)	19430	57.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_tipo
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	0.7%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

PERDA DE CONTROLE EM VOO	1461
FALHA DO MOTOR EM VOO	1254
PERDA DE CONTROLE NO SOLO	1047
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	832
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	710
Other values (75)	6862

Length

Max length	92
Median length	21
Mean length	23.7123952
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	ESTOURO DE PNEU
2nd row	COM PESSOAL EM VOO
3rd row	COM PESSOAL EM VOO
4th row	COM PESSOAL EM VOO
5th row	COM PESSOAL EM VOO

Common Values

Value	Count	Frequency (%)
PERDA DE CONTROLE EM VOO	1461	12.0%
FALHA DO MOTOR EM VOO	1254	10.3%
PERDA DE CONTROLE NO SOLO	1047	8.6%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	832	6.8%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	710	5.8%
EXCURSÃO DE PISTA	624	5.1%
ESTOURO DE PNEU	591	4.9%
OUTROS	539	4.4%
PANE SECA	427	3.5%
COM TREM DE POUSO	393	3.2%
Other values (70)	4288	35.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	5501	10.4%
em	3476	6.6%
voo	3306	6.2%
perda	2620	5.0%
controle	2508	4.7%
com	2228	4.2%
falha	2200	4.2%
pouso	1968	3.7%
no	1605	3.0%
solo	1605	3.0%
Other values (125)	25906	49.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_tipo_categoria
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	0.7%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

PERDA DE CONTROLE EM VOO	1461
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	1254
PERDA DE CONTROLE NO SOLO	1047
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	832
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	710
Other values (75)	6862

Length

Max length	96
Median length	35
Mean length	38.44065428
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU
2nd row	OUTROS \| COM PESSOAL EM VOO
3rd row	OUTROS \| COM PESSOAL EM VOO
4th row	OUTROS \| COM PESSOAL EM VOO
5th row	OUTROS \| COM PESSOAL EM VOO

Common Values

Value	Count	Frequency (%)
PERDA DE CONTROLE EM VOO	1461	12.0%
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	1254	10.3%
PERDA DE CONTROLE NO SOLO	1047	8.6%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	832	6.8%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	710	5.8%
EXCURSÃO DE PISTA	624	5.1%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	591	4.9%
OUTROS	539	4.4%
COMBUSTÍVEL \| PANE SECA	427	3.5%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	393	3.2%
Other values (70)	4288	35.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	8243	9.6%
de	7448	8.7%
falha	4972	5.8%
em	3812	4.5%
ou	3655	4.3%
voo	3642	4.3%
mau	3633	4.2%
funcionamento	3633	4.2%
perda	2956	3.5%
do	2699	3.2%
Other values (125)	40907	47.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

taxonomia_tipo_icao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	0.3%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

SCF-NP	2229
LOC-I	1461
SCF-PP	1404
OTHR	1287
LOC-G	1047
Other values (27)	4738

Length

Max length	7
Median length	5
Mean length	4.558112773
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	SCF-NP
2nd row	OTHR
3rd row	OTHR
4th row	OTHR
5th row	OTHR

Common Values

Value	Count	Frequency (%)
SCF-NP	2229	18.3%
LOC-I	1461	12.0%
SCF-PP	1404	11.5%
OTHR	1287	10.6%
LOC-G	1047	8.6%
RE	838	6.9%
CTOL	710	5.8%
FUEL	455	3.7%
GCOL	388	3.2%
ARC	352	2.9%
Other values (22)	1995	16.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scf-np	2229	18.3%
loc-i	1461	12.0%
scf-pp	1404	11.5%
othr	1287	10.6%
loc-g	1047	8.6%
re	838	6.9%
ctol	710	5.8%
fuel	455	3.7%
gcol	388	3.2%
arc	352	2.9%
Other values (22)	1995	16.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_matricula
Categorical

HIGH CARDINALITY

Distinct	3902
Distinct (%)	32.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

PRAFA	209
PREES	136
PRGTN	117
PTMFW	117
FAB2345	117
Other values (3897)	11471

Length

Max length	8
Median length	5
Mean length	5.036081203
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2427 ?
Unique (%)	19.9%

Sample

1st row	PRCDL
2nd row	PRTKB
3rd row	PRTKB
4th row	PRTKB
5th row	PRTKB

Common Values

Value	Count	Frequency (%)
PRAFA	209	1.7%
PREES	136	1.1%
PRGTN	117	1.0%
PTMFW	117	1.0%
FAB2345	117	1.0%
YV2937	90	0.7%
PPELA	90	0.7%
CSTOF	88	0.7%
PRMBG	81	0.7%
PTCNL	78	0.6%
Other values (3892)	11044	90.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prafa	209	1.7%
prees	136	1.1%
prgtn	117	1.0%
fab2345	117	1.0%
ptmfw	117	1.0%
yv2937	90	0.7%
ppela	90	0.7%
cstof	88	0.7%
prmbg	81	0.7%
ptcnl	78	0.6%
Other values (3892)	11044	90.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_operador_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

***	9863
REGULAR	639
PARTICULAR	594
TÁXI AÉREO	325
INSTRUÇÃO	307
Other values (6)	439

Length

Max length	20
Median length	3
Mean length	4.26349963
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTICULAR
2nd row	***
3rd row	***
4th row	***
5th row	***

Common Values

Value	Count	Frequency (%)
***	9863	81.1%
REGULAR	639	5.3%
PARTICULAR	594	4.9%
TÁXI AÉREO	325	2.7%
INSTRUÇÃO	307	2.5%
EXPERIMENTAL	283	2.3%
ADMINISTRAÇÃO DIRETA	89	0.7%
AGRÍCOLA	24	0.2%
ESPECIALIZADA	21	0.2%
NÃO REGULAR	14	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	9863	78.3%
regular	653	5.2%
particular	594	4.7%
táxi	325	2.6%
aéreo	325	2.6%
instrução	307	2.4%
experimental	283	2.2%
administração	89	0.7%
direta	89	0.7%
agrícola	24	0.2%
Other values (3)	43	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_veiculo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

AVIÃO	9424
HELICÓPTERO	1995
ULTRALEVE	425
***	196
PLANADOR	87
Other values (5)	40

Length

Max length	11
Median length	5
Mean length	6.118928249
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	AVIÃO
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	9424	77.5%
HELICÓPTERO	1995	16.4%
ULTRALEVE	425	3.5%
***	196	1.6%
PLANADOR	87	0.7%
ANFÍBIO	31	0.3%
TRIKE	5	< 0.1%
DIRIGÍVEL	2	< 0.1%
HIDROAVIÃO	1	< 0.1%
BALÃO	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
avião	9424	77.5%
helicóptero	1995	16.4%
ultraleve	425	3.5%
	196	1.6%
planador	87	0.7%
anfíbio	31	0.3%
trike	5	< 0.1%
dirigível	2	< 0.1%
hidroavião	1	< 0.1%
balão	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fabricante
Categorical

HIGH CARDINALITY

Distinct	234
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

CESSNA AIRCRAFT	2339
NEIVA INDUSTRIA AERONAUTICA	1452
EMBRAER	1099
PIPER AIRCRAFT	890
BOEING COMPANY	626
Other values (229)	5761

Length

Max length	47
Median length	15
Mean length	15.48212378
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	125 ?
Unique (%)	1.0%

Sample

1st row	RAYTHEON AIRCRAFT
2nd row	AEROSPATIALE AND ALENIA
3rd row	AEROSPATIALE AND ALENIA
4th row	AEROSPATIALE AND ALENIA
5th row	AEROSPATIALE AND ALENIA

Common Values

Value	Count	Frequency (%)
CESSNA AIRCRAFT	2339	19.2%
NEIVA INDUSTRIA AERONAUTICA	1452	11.9%
EMBRAER	1099	9.0%
PIPER AIRCRAFT	890	7.3%
BOEING COMPANY	626	5.1%
AIRBUS INDUSTRIE	552	4.5%
BEECH AIRCRAFT	544	4.5%
BELL HELICOPTER	423	3.5%
***	421	3.5%
AERO BOERO	407	3.3%
Other values (224)	3414	28.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aircraft	4119	16.7%
cessna	2339	9.5%
aeronautica	1554	6.3%
industria	1542	6.3%
neiva	1452	5.9%
embraer	1099	4.5%
piper	890	3.6%
helicopter	878	3.6%
company	635	2.6%
boeing	627	2.5%
Other values (425)	9471	38.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_modelo
Categorical

HIGH CARDINALITY

Distinct	738
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

AB-115	355
737-8EH	309
EMB-201A	303
EMB-202	286
ATR-72-212A	278
Other values (733)	10636

Length

Max length	29
Median length	7
Mean length	6.881564889
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	309 ?
Unique (%)	2.5%

Sample

1st row	58
2nd row	ATR-42-500
3rd row	ATR-42-500
4th row	ATR-42-500
5th row	ATR-42-500

Common Values

Value	Count	Frequency (%)
AB-115	355	2.9%
737-8EH	309	2.5%
EMB-201A	303	2.5%
EMB-202	286	2.4%
ATR-72-212A	278	2.3%
AS 350 B2	273	2.2%
152	238	2.0%
EMB-202A	217	1.8%
560XLS+	209	1.7%
***	209	1.7%
Other values (728)	9490	78.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
as	514	3.4%
350	459	3.0%
ab-115	355	2.3%
737-8eh	309	2.0%
emb-201a	303	2.0%
emb-202	287	1.9%
atr-72-212a	278	1.8%
b2	273	1.8%
erj	270	1.8%
r44	248	1.6%
Other values (815)	11839	78.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_icao
Categorical

HIGH CARDINALITY

Distinct	232
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

IPAN	870
PA34	552
AS50	490
ULAC	364
AB11	355
Other values (227)	9536

Length

Max length	5
Median length	4
Mean length	3.89348237
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	0.4%

Sample

1st row	BE58
2nd row	AT45
3rd row	AT45
4th row	AT45
5th row	AT45

Common Values

Value	Count	Frequency (%)
IPAN	870	7.2%
PA34	552	4.5%
AS50	490	4.0%
ULAC	364	3.0%
AB11	355	2.9%
***	329	2.7%
B738	319	2.6%
A320	317	2.6%
B06	302	2.5%
C172	275	2.3%
Other values (222)	7994	65.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ipan	870	7.1%
pa34	552	4.5%
as50	490	4.0%
ulac	364	3.0%
ab11	355	2.9%
	331	2.7%
b738	319	2.6%
a320	317	2.6%
b06	302	2.5%
c172	275	2.3%
Other values (221)	7993	65.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_motor_tipo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	5
Missing (%)	< 0.1%
Memory size	190.1 KiB

PISTÃO	6239
JATO	2182
TURBOEIXO	1703
TURBOÉLICE	1670
***	281

Length

Max length	10
Median length	6
Mean length	6.569807597
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PISTÃO
2nd row	TURBOÉLICE
3rd row	TURBOÉLICE
4th row	TURBOÉLICE
5th row	TURBOÉLICE

Common Values

Value	Count	Frequency (%)
PISTÃO	6239	51.3%
JATO	2182	17.9%
TURBOEIXO	1703	14.0%
TURBOÉLICE	1670	13.7%
***	281	2.3%
SEM TRAÇÃO	87	0.7%
(Missing)	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pistão	6239	50.9%
jato	2182	17.8%
turboeixo	1703	13.9%
turboélice	1670	13.6%
	281	2.3%
sem	87	0.7%
tração	87	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_motor_quantidade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

MONOMOTOR	6786
BIMOTOR	4919
SEM TRAÇÃO	276
***	113
TRIMOTOR	68

Length

Max length	11
Median length	9
Mean length	8.15361223
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BIMOTOR
2nd row	BIMOTOR
3rd row	BIMOTOR
4th row	BIMOTOR
5th row	BIMOTOR

Common Values

Value	Count	Frequency (%)
MONOMOTOR	6786	55.8%
BIMOTOR	4919	40.4%
SEM TRAÇÃO	276	2.3%
***	113	0.9%
TRIMOTOR	68	0.6%
QUADRIMOTOR	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
monomotor	6786	54.5%
bimotor	4919	39.5%
sem	276	2.2%
tração	276	2.2%
	113	0.9%
trimotor	68	0.5%
quadrimotor	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_pmd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14352.33821

Minimum	0
Maximum	396895
Zeros	292
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	587
Q1	1224
median	2018
Q3	4920
95-th percentile	75500
Maximum	396895
Range	396895
Interquartile range (IQR)	3696

Descriptive statistics

Standard deviation	38808.99191
Coefficient of variation (CV)	2.70401877
Kurtosis	32.77249296
Mean	14352.33821
Median Absolute Deviation (MAD)	1248
Skewness	5.160210489
Sum	174624899
Variance	1506137853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	855	7.0%
1633	388	3.2%
3629	384	3.2%
770	355	2.9%
2155	299	2.5%
2250	296	2.4%
70533	295	2.4%
0	292	2.4%
1724	241	2.0%
1315	234	1.9%
Other values (449)	8528	70.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	292	2.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	< 0.1%
280	5	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	46	0.4%
285990	4	< 0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_pmd_categoria
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14352.33821

Minimum	0
Maximum	396895
Zeros	292
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	587
Q1	1224
median	2018
Q3	4920
95-th percentile	75500
Maximum	396895
Range	396895
Interquartile range (IQR)	3696

Descriptive statistics

Standard deviation	38808.99191
Coefficient of variation (CV)	2.70401877
Kurtosis	32.77249296
Mean	14352.33821
Median Absolute Deviation (MAD)	1248
Skewness	5.160210489
Sum	174624899
Variance	1506137853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	855	7.0%
1633	388	3.2%
3629	384	3.2%
770	355	2.9%
2155	299	2.5%
2250	296	2.4%
70533	295	2.4%
0	292	2.4%
1724	241	2.0%
1315	234	1.9%
Other values (449)	8528	70.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	292	2.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	< 0.1%
280	5	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	46	0.4%
285990	4	< 0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_assentos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	86
Distinct (%)	0.7%
Missing	241
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.95614624

Minimum	0
Maximum	384
Zeros	557
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	6
Q3	9
95-th percentile	182
Maximum	384
Range	384
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	54.11197805
Coefficient of variation (CV)	2.25879311
Kurtosis	10.96164395
Mean	23.95614624
Median Absolute Deviation (MAD)	4
Skewness	3.169524776
Sum	285701
Variance	2928.106169
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	1960	16.1%
1	1601	13.2%
2	1575	12.9%
4	1334	11.0%
7	901	7.4%
0	557	4.6%
10	479	3.9%
8	392	3.2%
14	322	2.6%
5	319	2.6%
Other values (76)	2486	20.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	557	4.6%
1	1601	13.2%
2	1575	12.9%
3	180	1.5%
4	1334	11.0%
5	319	2.6%
6	1960	16.1%
7	901	7.4%
8	392	3.2%
9	204	1.7%

Value	Count	Frequency (%)
384	44	0.4%
382	2	< 0.1%
312	1	< 0.1%
288	2	< 0.1%
284	2	< 0.1%
278	2	< 0.1%
258	1	< 0.1%
243	1	< 0.1%
242	3	< 0.1%
240	23	0.2%

aeronave_ano_fabricacao
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	80
Distinct (%)	0.7%
Missing	246
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	1893.589883

Minimum	0
Maximum	9999
Zeros	597
Zeros (%)	4.9%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1978
median	1992
Q3	2007
95-th percentile	2013
Maximum	9999
Range	9999
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	441.2069936
Coefficient of variation (CV)	0.2330002909
Kurtosis	23.5639855
Mean	1893.589883
Median Absolute Deviation (MAD)	15
Skewness	-3.428263932
Sum	22573485
Variance	194663.6112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2010	686	5.6%
0	597	4.9%
2012	469	3.9%
2007	399	3.3%
2013	393	3.2%
1979	382	3.1%
2011	372	3.1%
2001	330	2.7%
2008	323	2.7%
1992	315	2.6%
Other values (70)	7655	62.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	597	4.9%
1936	1	< 0.1%
1940	1	< 0.1%
1945	4	< 0.1%
1946	35	0.3%
1947	7	0.1%
1948	7	0.1%
1949	1	< 0.1%
1950	26	0.2%
1951	52	0.4%

Value	Count	Frequency (%)
9999	1	< 0.1%
2020	3	< 0.1%
2019	12	0.1%
2018	31	0.3%
2017	33	0.3%
2016	69	0.6%
2015	80	0.7%
2014	66	0.5%
2013	393	3.2%
2012	469	3.9%

aeronave_registro_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

AVIÃO	9424
HELICÓPTERO	1995
ULTRALEVE	425
***	196
PLANADOR	87
Other values (5)	40

Length

Max length	11
Median length	5
Mean length	6.118928249
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	AVIÃO
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	9424	77.5%
HELICÓPTERO	1995	16.4%
ULTRALEVE	425	3.5%
***	196	1.6%
PLANADOR	87	0.7%
ANFÍBIO	31	0.3%
TRIKE	5	< 0.1%
DIRIGÍVEL	2	< 0.1%
HIDROAVIÃO	1	< 0.1%
BALÃO	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
avião	9424	77.5%
helicóptero	1995	16.4%
ultraleve	425	3.5%
	196	1.6%
planador	87	0.7%
anfíbio	31	0.3%
trike	5	< 0.1%
dirigível	2	< 0.1%
hidroavião	1	< 0.1%
balão	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_registro_segmento
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

PARTICULAR	3785
REGULAR	1873
INSTRUÇÃO	1757
TÁXI AÉREO	1483
AGRÍCOLA	1033
Other values (8)	2236

Length

Max length	22
Median length	10
Mean length	10.03747843
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PARTICULAR
2nd row	REGULAR
3rd row	REGULAR
4th row	REGULAR
5th row	REGULAR

Common Values

Value	Count	Frequency (%)
PARTICULAR	3785	31.1%
REGULAR	1873	15.4%
INSTRUÇÃO	1757	14.4%
TÁXI AÉREO	1483	12.2%
AGRÍCOLA	1033	8.5%
ADMINISTRAÇÃO DIRETA	835	6.9%
EXPERIMENTAL	579	4.8%
ESPECIALIZADA	322	2.6%
***	224	1.8%
MÚLTIPLA	131	1.1%
Other values (3)	145	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
particular	3785	25.9%
regular	1916	13.1%
instrução	1757	12.0%
táxi	1483	10.1%
aéreo	1483	10.1%
agrícola	1033	7.1%
administração	936	6.4%
direta	835	5.7%
experimental	579	4.0%
especializada	322	2.2%
Other values (5)	500	3.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_voo_origem
Categorical

HIGH CARDINALITY

Distinct	678
Distinct (%)	5.6%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

FORA DE AERODROMO	3615
PRESIDENTE JUSCELINO KUBITSCHEK	406
SANTOS DUMONT	311
***	263
PINTO MARTINS	179
Other values (673)	7392

Length

Max length	63
Median length	17
Mean length	17.52548085
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	255 ?
Unique (%)	2.1%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	3615	29.7%
PRESIDENTE JUSCELINO KUBITSCHEK	406	3.3%
SANTOS DUMONT	311	2.6%
***	263	2.2%
PINTO MARTINS	179	1.5%
VAL DE CANS / JÚLIO CEZAR RIBEIRO	151	1.2%
AEROPORTO ESTADUAL DE JUNDIAÍ	148	1.2%
CAMPO DE MARTE	146	1.2%
GUARARAPES - GILBERTO FREYRE	142	1.2%
DEPUTADO LUÍS EDUARDO MAGALHÃES	142	1.2%
Other values (668)	6663	54.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	5075	15.3%
aerodromo	3617	10.9%
fora	3615	10.9%
	803	2.4%
presidente	448	1.4%
juscelino	412	1.2%
kubitschek	406	1.2%
santos	313	0.9%
dumont	311	0.9%
santa	295	0.9%
Other values (959)	17844	53.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_voo_destino
Categorical

HIGH CARDINALITY

Distinct	675
Distinct (%)	5.5%
Missing	1
Missing (%)	< 0.1%
Memory size	190.1 KiB

FORA DE AERODROMO	4021
PRESIDENTE JUSCELINO KUBITSCHEK	256
***	247
BASE AÉREA DE SANTOS	210
BACACHERI	200
Other values (670)	7232

Length

Max length	50
Median length	17
Mean length	17.07767549
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	256 ?
Unique (%)	2.1%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	4021	33.0%
PRESIDENTE JUSCELINO KUBITSCHEK	256	2.1%
***	247	2.0%
BASE AÉREA DE SANTOS	210	1.7%
BACACHERI	200	1.6%
EDUARDO GOMES	177	1.5%
CAMPO DE MARTE	145	1.2%
GUARARAPES - GILBERTO FREYRE	142	1.2%
MARECHAL CUNHA MACHADO	130	1.1%
AEROCLUBE DE ITÁPOLIS	127	1.0%
Other values (665)	6511	53.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	5515	16.9%
aerodromo	4031	12.4%
fora	4021	12.3%
	765	2.3%
fazenda	339	1.0%
santos	305	0.9%
presidente	290	0.9%
aeroclube	266	0.8%
campo	264	0.8%
carlos	262	0.8%
Other values (925)	16557	50.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fase_operacao
Categorical

HIGH CORRELATION

Distinct	32
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

DECOLAGEM	2138
POUSO	1999
CRUZEIRO	1660
CORRIDA APÓS POUSO	1232
APROXIMAÇÃO FINAL	802
Other values (27)	4336

Length

Max length	31
Median length	9
Mean length	10.09895619
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	POUSO
2nd row	DESCIDA
3rd row	DESCIDA
4th row	DESCIDA
5th row	DESCIDA

Common Values

Value	Count	Frequency (%)
DECOLAGEM	2138	17.6%
POUSO	1999	16.4%
CRUZEIRO	1660	13.6%
CORRIDA APÓS POUSO	1232	10.1%
APROXIMAÇÃO FINAL	802	6.6%
MANOBRA	617	5.1%
SUBIDA	596	4.9%
TÁXI	559	4.6%
CIRCUITO DE TRÁFEGO	438	3.6%
ESPECIALIZADA	390	3.2%
Other values (22)	1736	14.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pouso	3231	18.2%
decolagem	2186	12.3%
cruzeiro	1660	9.4%
corrida	1232	6.9%
após	1232	6.9%
final	823	4.6%
aproximação	821	4.6%
manobra	617	3.5%
subida	596	3.4%
táxi	559	3.1%
Other values (40)	4794	27.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_operacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

PRIVADA	3959
REGULAR	1891
INSTRUÇÃO	1698
AGRÍCOLA	1466
TÁXI AÉREO	1454
Other values (5)	1699

Length

Max length	13
Median length	8
Mean length	8.082353908
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PRIVADA
2nd row	REGULAR
3rd row	REGULAR
4th row	REGULAR
5th row	REGULAR

Common Values

Value	Count	Frequency (%)
PRIVADA	3959	32.5%
REGULAR	1891	15.5%
INSTRUÇÃO	1698	14.0%
AGRÍCOLA	1466	12.0%
TÁXI AÉREO	1454	12.0%
POLICIAL	757	6.2%
ESPECIALIZADA	330	2.7%
EXPERIMENTAL	248	2.0%
***	186	1.5%
NÃO REGULAR	178	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
privada	3959	28.7%
regular	2069	15.0%
instrução	1698	12.3%
agrícola	1466	10.6%
táxi	1454	10.5%
aéreo	1454	10.5%
policial	757	5.5%
especializada	330	2.4%
experimental	248	1.8%
	186	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_nivel_dano
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	190.1 KiB

SUBSTANCIAL	4936
NENHUM	2686
LEVE	2502
DESTRUÍDA	1976
***	67

Length

Max length	11
Median length	9
Mean length	8.087860607
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LEVE
2nd row	NENHUM
3rd row	NENHUM
4th row	NENHUM
5th row	NENHUM

Common Values

Value	Count	Frequency (%)
SUBSTANCIAL	4936	40.6%
NENHUM	2686	22.1%
LEVE	2502	20.6%
DESTRUÍDA	1976	16.2%
***	67	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
substancial	4936	40.6%
nenhum	2686	22.1%
leve	2502	20.6%
destruída	1976	16.2%
	67	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fatalidades_total
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.629325224

Minimum	0
Maximum	10
Zeros	9663
Zeros (%)	79.4%
Negative	0
Negative (%)	0.0%
Memory size	190.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.578934584
Coefficient of variation (CV)	2.508932622
Kurtosis	9.186701556
Mean	0.629325224
Median Absolute Deviation (MAD)	0
Skewness	2.992748752
Sum	7657
Variance	2.493034421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	9663	79.4%
1	873	7.2%
2	445	3.7%
4	409	3.4%
5	298	2.4%
7	210	1.7%
3	176	1.4%
10	39	0.3%
8	28	0.2%
6	26	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9663	79.4%
1	873	7.2%
2	445	3.7%
3	176	1.4%
4	409	3.4%
5	298	2.4%
6	26	0.2%
7	210	1.7%
8	28	0.2%
10	39	0.3%

Value	Count	Frequency (%)
10	39	0.3%
8	28	0.2%
7	210	1.7%
6	26	0.2%
5	298	2.4%
4	409	3.4%
3	176	1.4%
2	445	3.7%
1	873	7.2%
0	9663	79.4%

fator_nome
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	74
Distinct (%)	1.0%
Missing	4432
Missing (%)	36.4%
Memory size	190.1 KiB

JULGAMENTO DE PILOTAGEM	821
APLICAÇÃO DE COMANDOS	584
SUPERVISÃO GERENCIAL	525
PLANEJAMENTO DE VOO	426
MANUTENÇÃO DA AERONAVE	400
Other values (69)	4979

Length

Max length	41
Median length	21
Mean length	19.16354234
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	APLICAÇÃO DE COMANDOS
2nd row	APLICAÇÃO DE COMANDOS
3rd row	APLICAÇÃO DE COMANDOS
4th row	ATENÇÃO
5th row	ATENÇÃO

Common Values

Value	Count	Frequency (%)
JULGAMENTO DE PILOTAGEM	821	6.7%
APLICAÇÃO DE COMANDOS	584	4.8%
SUPERVISÃO GERENCIAL	525	4.3%
PLANEJAMENTO DE VOO	426	3.5%
MANUTENÇÃO DA AERONAVE	400	3.3%
PROCESSO DECISÓRIO	397	3.3%
ATITUDE	388	3.2%
PERCEPÇÃO	323	2.7%
POUCA EXPERIÊNCIA DO PILOTO	269	2.2%
INDISCIPLINA DE VOO	223	1.8%
Other values (64)	3379	27.8%
(Missing)	4432	36.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2844	15.0%
pilotagem	821	4.3%
julgamento	821	4.3%
do	692	3.7%
voo	649	3.4%
gerencial	626	3.3%
comandos	584	3.1%
aplicação	584	3.1%
supervisão	554	2.9%
planejamento	547	2.9%
Other values (110)	10216	53.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fator_aspecto
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.2%
Missing	4432
Missing (%)	36.4%
Memory size	190.1 KiB

DESEMPENHO DO SER HUMANO	4062
ASPECTO PSICOLÓGICO	2830
ELEMENTOS RELACIONADOS AO AMBIENTE OPERACIONAL	191
INFRAESTRUTURA AEROPORTUÁRIA	186
ASPECTO MÉDICO	172
Other values (7)	294

Length

Max length	46
Median length	24
Mean length	22.13587589
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DESEMPENHO DO SER HUMANO
2nd row	DESEMPENHO DO SER HUMANO
3rd row	DESEMPENHO DO SER HUMANO
4th row	ASPECTO PSICOLÓGICO
5th row	ASPECTO PSICOLÓGICO

Common Values

Value	Count	Frequency (%)
DESEMPENHO DO SER HUMANO	4062	33.4%
ASPECTO PSICOLÓGICO	2830	23.3%
ELEMENTOS RELACIONADOS AO AMBIENTE OPERACIONAL	191	1.6%
INFRAESTRUTURA AEROPORTUÁRIA	186	1.5%
ASPECTO MÉDICO	172	1.4%
OUTRO	119	1.0%
ERGONOMIA	36	0.3%
INFRAESTRUTURA DE TRÁFEGO AÉREO	35	0.3%
***	35	0.3%
ASPECTO DE FABRICAÇÃO	31	0.3%
Other values (2)	38	0.3%
(Missing)	4432	36.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
do	4071	16.9%
desempenho	4062	16.8%
ser	4062	16.8%
humano	4062	16.8%
aspecto	3071	12.7%
psicológico	2830	11.7%
infraestrutura	221	0.9%
elementos	191	0.8%
relacionados	191	0.8%
ao	191	0.8%
Other values (14)	1182	4.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fator_condicionante
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.1%
Missing	4432
Missing (%)	36.4%
Memory size	190.1 KiB

OPERAÇÃO DA AERONAVE	3457
INDIVIDUAL	1563
ORGANIZACIONAL	910
***	843
MANUTENÇÃO DA AERONAVE	400
Other values (2)	562

Length

Max length	38
Median length	20
Mean length	15.63193277
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OPERAÇÃO DA AERONAVE
2nd row	OPERAÇÃO DA AERONAVE
3rd row	OPERAÇÃO DA AERONAVE
4th row	INDIVIDUAL
5th row	INDIVIDUAL

Common Values

Value	Count	Frequency (%)
OPERAÇÃO DA AERONAVE	3457	28.4%
INDIVIDUAL	1563	12.8%
ORGANIZACIONAL	910	7.5%
***	843	6.9%
MANUTENÇÃO DA AERONAVE	400	3.3%
PSICOSSOCIAL	357	2.9%
PRESTAÇÃO DE SERVIÇOS DE TRÁFEGO AÉREO	205	1.7%
(Missing)	4432	36.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
da	3857	23.4%
aeronave	3857	23.4%
operação	3457	21.0%
individual	1563	9.5%
organizacional	910	5.5%
	843	5.1%
de	410	2.5%
manutenção	400	2.4%
psicossocial	357	2.2%
prestação	205	1.2%
Other values (3)	615	3.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fator_area
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	4432
Missing (%)	36.4%
Memory size	190.1 KiB

FATOR OPERACIONAL	4474
FATOR HUMANO	3038
OUTRO	119
FATOR MATERIAL	69
***	35

Length

Max length	17
Median length	17
Mean length	14.76147382
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FATOR OPERACIONAL
2nd row	FATOR OPERACIONAL
3rd row	FATOR OPERACIONAL
4th row	FATOR HUMANO
5th row	FATOR HUMANO

Common Values

Value	Count	Frequency (%)
FATOR OPERACIONAL	4474	36.8%
FATOR HUMANO	3038	25.0%
OUTRO	119	1.0%
FATOR MATERIAL	69	0.6%
***	35	0.3%
(Missing)	4432	36.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fator	7581	49.5%
operacional	4474	29.2%
humano	3038	19.8%
outro	119	0.8%
material	69	0.5%
	35	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

recomendacao_conteudo
Categorical

HIGH CARDINALITY
MISSING

Distinct	1171
Distinct (%)	17.4%
Missing	5424
Missing (%)	44.6%
Memory size	190.1 KiB

Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	32
Divulgar o conteúdo do presente relatório durante a realização de seminários, palestras e atividades afins voltadas aos proprietários, operadores e exploradores de aeronaves agrícolas.	28
AVALIAR A VIABILIDADE DA IMPLANTAçãO DE UM RADAR DE MOVIMENTAçãO DE SUPERFíCIE (SURFACE MOVEMENT RADAR - SMR) EM SBBR, A FIM DE MITIGAR OS RISCOS DE INCURSãO EM PISTA DECORRENTES DOS DIVERSOS PONTOS CEGOS EXISTENTES NO AERóDROMO.	26
Atuar junto à LATAM AIRLINES GROUP S.A., a fim de que aquele operador reavalie a adequabilidade do programa de treinamento aplicado a seus pilotos, sobretudo no que diz respeito à frequência e ao controle dos treinamentos de pouso sem o Auto Thrust - Controle Automático de Empuxo (A/THR).	26
Atuar junto a INFRAMERICA, a fim de que aquele Operador de Aeródromo adote medidas em relação à estrutura de iluminação dos pátios de estacionamento (Píer Norte e Píer Sul), de modo a evitar que a luz proveniente dos respectivos holofotes interfira negativamente na linha de visada dos controladores da TWR-BR.	26
Other values (1166)	6605

Length

Max length	705
Median length	270
Mean length	277.2902269
Min length	68

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	165 ?
Unique (%)	2.4%

Sample

1st row	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.
2nd row	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.
3rd row	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.
4th row	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.
5th row	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.

Common Values

Value	Count	Frequency (%)
Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	32	0.3%
Divulgar o conteúdo do presente relatório durante a realização de seminários, palestras e atividades afins voltadas aos proprietários, operadores e exploradores de aeronaves agrícolas.	28	0.2%
AVALIAR A VIABILIDADE DA IMPLANTAçãO DE UM RADAR DE MOVIMENTAçãO DE SUPERFíCIE (SURFACE MOVEMENT RADAR - SMR) EM SBBR, A FIM DE MITIGAR OS RISCOS DE INCURSãO EM PISTA DECORRENTES DOS DIVERSOS PONTOS CEGOS EXISTENTES NO AERóDROMO.	26	0.2%
Atuar junto à LATAM AIRLINES GROUP S.A., a fim de que aquele operador reavalie a adequabilidade do programa de treinamento aplicado a seus pilotos, sobretudo no que diz respeito à frequência e ao controle dos treinamentos de pouso sem o Auto Thrust - Controle Automático de Empuxo (A/THR).	26	0.2%
Atuar junto a INFRAMERICA, a fim de que aquele Operador de Aeródromo adote medidas em relação à estrutura de iluminação dos pátios de estacionamento (Píer Norte e Píer Sul), de modo a evitar que a luz proveniente dos respectivos holofotes interfira negativamente na linha de visada dos controladores da TWR-BR.	26	0.2%
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE SEJA AVALIADA A PERTINêNCIA DA INCLUSãO DE HOT SPOTS NA CARTA DE AERóDROMO DE SBBR, VISANDO ALERTAR OS PILOTOS QUE OPERAM NAQUELE AERóDROMO QUANTO à EXISTêNCIA DE PONTOS CEGOS NA áREA DE MANOBRAS.	26	0.2%
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE CâMERAS DE USO EXCLUSIVO DO DTCEA-BR SEJAM INSTALADAS NO AERóDROMO INTERNACIONAL DE BRASíLIA, DE MODO A GARANTIR A VISUALIZAçãO E O CONTROLE DE TODOS OS PONTOS CEGOS DAQUELE AERóDROMO.	26	0.2%
ALERTAR OS CONTROLADORES DE TRáFEGO AéREO BRASILEIROS SOBRE A IMPORTâNCIA DA UTILIZAçãO DA FRASEOLOGIA PADRãO PREVISTA NO MCA 100-16, NOTADAMENTE NO QUE SE REFERE O ITEM 3.4.3.4 (INSTRUçõES APóS O POUSO), ONDE é APRESENTADO UM EXEMPLO DE MENSAGEM CORRETA.	26	0.2%
ANALISAR A PERTINêNCIA DE SE ESTABELECER, COM CLAREZA E EM NORMA, O MOMENTO OU A POSIçãO EM QUE, APóS O POUSO, A TRIPULAçãO DE UMA AERONAVE DEVE TROCAR A FREQUêNCIA DA TORRE DE CONTROLE PARA O CONTROLE DE SOLO.	26	0.2%
ATUAR EM CONJUNTO COM A INFRAMERICA E O DECEA, A FIM DE QUE SEJA AVALIADA A PERTINêNCIA DE SE MODIFICAR UMA OU AMBAS AS LETRAS DESIGNATIVAS DAS TAXIWAYS “C” (CHARLIE) E “G” (GOLF) DO AERóDROMO INTERNACIONAL DE BRASíLIA, DE MODO A EVITAR CONFUSõES OU EQUíVOCOS POR PARTE DAS TRIPULAçõES QUE OPERAM NAQUELE AERóDROMO.	26	0.2%
Other values (1161)	6475	53.2%
(Missing)	5424	44.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	26872	9.5%
a	11681	4.1%
e	7223	2.5%
que	6493	2.3%
da	5293	1.9%
do	5026	1.8%
o	4249	1.5%
os	4222	1.5%
no	3489	1.2%
à	3374	1.2%
Other values (4830)	205336	72.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

recomendacao_status
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	5422
Missing (%)	44.6%
Memory size	190.1 KiB

CUMPRIDA	4474
AGUARDANDO RESPOSTA	1381
CUMPRIDA DE FORMA ALTERNATIVA	469
NÃO CUMPRIDA	393
***	28

Length

Max length	29
Median length	8
Mean length	11.92468495
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUMPRIDA
2nd row	CUMPRIDA
3rd row	AGUARDANDO RESPOSTA
4th row	CUMPRIDA
5th row	CUMPRIDA

Common Values

Value	Count	Frequency (%)
CUMPRIDA	4474	36.8%
AGUARDANDO RESPOSTA	1381	11.4%
CUMPRIDA DE FORMA ALTERNATIVA	469	3.9%
NÃO CUMPRIDA	393	3.2%
***	28	0.2%
(Missing)	5422	44.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cumprida	5336	53.8%
aguardando	1381	13.9%
resposta	1381	13.9%
de	469	4.7%
forma	469	4.7%
alternativa	469	4.7%
não	393	4.0%
	28	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano	fator_nome	fator_aspecto	fator_condicionante	fator_area	recomendacao_conteudo	recomendacao_status
0	INCIDENTE	PORTO ALEGRE - RS	RS	SBPA	05/01/2012	20:27:00	NÃO	0	1	NÃO	NaN	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PRCDL	PARTICULAR	AVIÃO	RAYTHEON AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2495	2495	6.0	2003.0	AVIÃO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	PRIVADA	LEVE	NaN	NaN	NaN	NaN	NaN	NaN
1	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA
2	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA
3	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA
4	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA
5	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA
6	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	ATENÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA
7	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto às empresas que operam segundo o RBAC 121 de forma tal que assegure que o treinamento de Corporate Ressource Management (CRM) esteja adequado a realidade daquela empresa, que seja constantemente avaliado e reforçado (com a participação da alta direção), envolva todos os profissionais da instituição, que garanta a integração dos diferentes setores da empresa (corporate), e que, acima de tudo, faça parte da cultura de segurança de voo da organização.	CUMPRIDA
8	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto à Administração do Aeroporto Internacional de Guarulhos, de forma que este passe a ministrar treinamento teórico e prático de atendimento às vítimas de acidentes envolvendo os principais tipos de aeronaves que operam naquela localidade, principalmente os das Linhas Aéreas Regulares, com especial ênfase ao “Layout” e aos meios de remoção de passageiros do interior destas aeronaves.	CUMPRIDA
9	ACIDENTE	GUARULHOS - SP	SP	SBGR	06/01/2012	13:44:00	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	***	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM	CAPACITAÇÃO E TREINAMENTO	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Orientar as suas organizações subordinadas em relação ao fiel cumprimento do estabelecido na ICA 100-37, de 28ABR2014, no seu item 5.9.3 e na MCA 100-16, de 18NOV2013, no item 2.3.3.	AGUARDANDO RESPOSTA

Last rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	divulgacao_relatorio_publicado	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano	fator_nome	fator_aspecto	fator_condicionante	fator_area	recomendacao_conteudo	recomendacao_status
12157	INCIDENTE	MANAUS - AM	AM	SBEG	30/12/2021	14:41:00	NÃO	1	NÃO	-3.04111111 / -60.05055556	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PTOCV	***	AVIÃO	EMBRAER	EMB-110P1	E110	TURBOÉLICE	BIMOTOR	5670	5670	21.0	1981.0	AVIÃO	TÁXI AÉREO	CARAUARI	EDUARDO GOMES	CORRIDA APÓS POUSO	TÁXI AÉREO	LEVE	NaN	NaN	NaN	NaN	NaN	NaN
12158	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30/12/2021	13:15:00	NÃO	1	SIM	-23.626111 / -46.656389	COM TREM DE POUSO	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	SCF-NP	PPAFP	***	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM	NaN	NaN	NaN	NaN	NaN	NaN
12159	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30/12/2021	13:15:00	NÃO	1	SIM	-23.626111 / -46.656389	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PPAFP	***	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM	NaN	NaN	NaN	NaN	NaN	NaN
12160	ACIDENTE	JATAÍ - GO	GO	####	30/12/2021	20:30:00	NÃO	1	NÃO	-17.999194 / -51.642861	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PTWBA	***	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL	NaN	NaN	NaN	NaN	NaN	NaN
12161	ACIDENTE	JATAÍ - GO	GO	####	30/12/2021	20:30:00	NÃO	1	NÃO	-17.999194 / -51.642861	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTWBA	***	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL	NaN	NaN	NaN	NaN	NaN	NaN
12162	ACIDENTE	MARACAÍ - SP	SP	*****	31/12/2021	09:30:00	NÃO	1	NÃO	-22.585556 / -50.753889	OPERAÇÃO A BAIXA ALTITUDE	OPERAÇÃO A BAIXA ALTITUDE	LALT	PRVPR	***	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	***	***	MANOBRA	ESPECIALIZADA	SUBSTANCIAL	NaN	NaN	NaN	NaN	NaN	NaN
12163	ACIDENTE	MARACAÍ - SP	SP	*****	31/12/2021	09:30:00	NÃO	1	NÃO	-22.585556 / -50.753889	PERDA DE CONTROLE EM VOO	PERDA DE CONTROLE EM VOO	LOC-I	PRVPR	***	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	***	***	MANOBRA	ESPECIALIZADA	SUBSTANCIAL	NaN	NaN	NaN	NaN	NaN	NaN
12164	INCIDENTE GRAVE	NOVO HAMBURGO - RS	RS	SSNH	31/12/2021	11:59:00	NÃO	1	NÃO	-29.695833 / -51.081667	POUSO BRUSCO	CONTATO ANORMAL COM A PISTA \| POUSO BRUSCO	ARC	PPFLY	***	AVIÃO	AERO BOERO	AB-115	AB11	PISTÃO	MONOMOTOR	770	770	2.0	1990.0	AVIÃO	INSTRUÇÃO	NOVO HAMBURGO	NOVO HAMBURGO	POUSO	INSTRUÇÃO	LEVE	NaN	NaN	NaN	NaN	NaN	NaN
12165	INCIDENTE	CURITIBA - PR	PR	SBBI	31/12/2021	15:12:00	NÃO	1	NÃO	-25.403333 / -49.233611	COLISÃO COM OBSTÁCULOS NO SOLO	COLISÃO NO SOLO \| COLISÃO COM OBSTÁCULOS NO SOLO	GCOL	PTWSA	***	AVIÃO	BEECH AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2449	2449	6.0	1972.0	AVIÃO	ADMINISTRAÇÃO DIRETA	SANTOS DUMONT	BACACHERI	TÁXI	POLICIAL	LEVE	NaN	NaN	NaN	NaN	NaN	NaN
12166	INCIDENTE	PETROLINA - PE	PE	SBPL	31/12/2021	20:30:00	NÃO	1	NÃO	-9.3675 / -40.56361111111	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PRGXM	***	AVIÃO	BOEING COMPANY	737-8EH	B738	JATO	BIMOTOR	70533	70533	199.0	2013.0	AVIÃO	REGULAR	ORLANDO BEZERRA DE MENEZES	GOVERNADOR ANDRÉ FRANCO MONTORO	SUBIDA	REGULAR	LEVE	NaN	NaN	NaN	NaN	NaN	NaN

Most frequently occurring

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano	fator_nome	fator_aspecto	fator_condicionante	fator_area	recomendacao_conteudo	recomendacao_status	# duplicates
0	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
1	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	CULTURA ORGANIZACIONAL	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
2	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	FRASEOLOGIA DA TRIPULAÇÃO	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
3	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	INDISCIPLINA DE VOO	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
4	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	JULGAMENTO DE PILOTAGEM	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
5	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	PERCEPÇÃO	ASPECTO PSICOLÓGICO	INDIVIDUAL	FATOR HUMANO	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
6	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	POUCA EXPERIÊNCIA DO PILOTO	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
7	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PREJK	***	AVIÃO	CESSNA AIRCRAFT	152	C152	PISTÃO	MONOMOTOR	757	757	2.0	1979.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	SUPERVISÃO GERENCIAL	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
8	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PRJEA	***	AVIÃO	CESSNA AIRCRAFT	150M	C150	PISTÃO	MONOMOTOR	726	726	2.0	1975.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	APLICAÇÃO DE COMANDOS	DESEMPENHO DO SER HUMANO	OPERAÇÃO DA AERONAVE	FATOR OPERACIONAL	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2
9	ACIDENTE	ITÁPOLIS - SP	SP	SDIO	12/07/2018	10:50:00	SIM	6	2	NÃO	-215.997.222.22 / -488.327.777.77	TRÁFEGO AÉREO	PERDA DE SEPARAÇÃO / COLISÃO EM VOO \| TRÁFEGO AÉREO	MAC	PRJEA	***	AVIÃO	CESSNA AIRCRAFT	150M	C150	PISTÃO	MONOMOTOR	726	726	2.0	1975.0	AVIÃO	INSTRUÇÃO	AEROCLUBE DE ITÁPOLIS	AEROCLUBE DE ITÁPOLIS	POUSO	INSTRUÇÃO	SUBSTANCIAL	CULTURA ORGANIZACIONAL	ASPECTO PSICOLÓGICO	ORGANIZACIONAL	FATOR HUMANO	Atuar junto à EJ Escola de Aeronáutica Ltda. ME e ao Aeroclube de Itápolis, a fim de que, conjuntamente, estas instituições realizem uma análise de risco sobre a realização de voos de instrução com aproximações de 180 e 360 graus concomitante a tráfegos executando circuitos normais (perna base e reta final) e “IFR simulados”, de maneira a facilitar a identificação dos perigos e a implementação de medidas mitigadoras adequadas.	CUMPRIDA	2

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Most occurring characters

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Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

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Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart